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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. BigchainDB vs. Datomic vs. HarperDB

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. BigchainDB vs. Datomic vs. HarperDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score0.85
Rank#208  Overall
#35  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchwww.bigchaindb.comwww.datomic.comwww.harperdb.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comdocs.harperdb.io/­docs
DeveloperAmazonAmazonCognitectHarperDB
Initial release20152012201620122017
Current release1.0.7075, December 20233.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercial infolimited edition freecommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, ClojureNode.js
Server operating systemshostedhostedLinuxAll OS with a Java VMLinux
OS X
Data schemeyesyesschema-freeyesdynamic schema
Typing infopredefined data types such as float or dateyesyesnoyesyes infoJSON data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnononoSQL-like data manipulation statements
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APICLI Client
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresyesnoyes infoTransaction FunctionsCustom Functions infosince release 3.1
TriggersyesnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSselectable replication factornone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyesnoAccess rights for users and roles

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More resources
Amazon AuroraAmazon CloudSearchBigchainDBDatomicHarperDB
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